We evaluated the generated text by its fluency (perplexity) and diversity (Dist-1, Dist-2, Dist-3), as in  [1]}. In our implementation, perplexity is measured by a separately pre-trained language model (GPT-2 samll); diversity is measured by the percentages of unique n-grams (1-2-3-grams) [2]}.
